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Journal articles on the topic 'Random-multisine'

Author: Grafiati

Published: 1 April 2023

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1

Enqvist, Martin. "Separability of scalar random multisine signals." Automatica 47, no. 9 (September 2011): 1860–67. http://dx.doi.org/10.1016/j.automatica.2011.05.015.

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2

Figwer, Jarosław. "Continuous-time dynamic system identification with multisine random excitation revisited." Archives of Control Sciences 20, no. 2 (January 1, 2010): 133–49. http://dx.doi.org/10.2478/v10170-010-0009-4.

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Continuous-time dynamic system identification with multisine random excitation revisitedThe paper presents a new, revisited and unified approach to a linear continuous-time dynamic single-input single-output system identification using input and output signal samples acquired with a deterministic constant or random sampling interval. The approach is based on a specially designed identification experiment with excitation of the form of a continuous-time multisine random excitation and digital processing of the corresponding signal samples obtained without analogue antialiasing filtration in the case of disturbances satisfying or not satisfying the Shannon's sampling theorem. Properties of the proposed approach are discussed taking into account nonlinearity of the excitation generation and data acquisition systems with a focus on model identification in the case of input and output signal levels comparable with data acquisition system accuracy. Methods reducing influence of the disturbances (including aliasing) as well as nonlinearities of the excitation generation and data acquisition systems on identification results are proposed, too.

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3

Breugelmans, Tom, Els Tourwé, Jean-Baptiste Jorcin, Ana Alvarez-Pampliega, Bart Geboes, Herman Terryn, and Annick Hubin. "Odd random phase multisine EIS for organic coating analysis." Progress in Organic Coatings 69, no. 2 (October 2010): 215–18. http://dx.doi.org/10.1016/j.porgcoat.2010.04.008.

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4

Van Ingelgem, Yves, Els Tourwé, Orlin Blajiev, Rik Pintelon, and Annick Hubin. "Advantages of Odd Random Phase Multisine Electrochemical Impedance Measurements." Electroanalysis 21, no. 6 (March 2009): 730–39. http://dx.doi.org/10.1002/elan.200804471.

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5

Crama, Philippe, and Johan Schoukens. "FIRST ESTIMATES OF WIENER-HAMMERSTEIN SYSTEMS USING A RANDOM MULTISINE EXCITATION." IFAC Proceedings Volumes 35, no. 1 (2002): 43–48. http://dx.doi.org/10.3182/20020721-6-es-1901.00418.

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6

Główka, Teresa, and Jarosław Figwer. "A Higher-Order Spectra Based Method of On-Line Secondary Path Model Identification for Active Noise Control Systems." Solid State Phenomena 248 (March 2016): 3–10. http://dx.doi.org/10.4028/www.scientific.net/ssp.248.3.

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The aim of this paper is to present a method of nonparametric and parametric secondary path model identification for adaptive active noise control systems with low-power non-Gaussian excitations of the form of a higher-order discrete-time multisine random process and data processing based on cross-higher-order spectra. Properties of the discussed method are illustrated by simulation experiments devoted to secondary path identification for feedforward and feedback active noise control systems. Its robustness to nonlinear distortions implied by data acquisition system and adaptation procedure is proved.

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7

Zhang, E., R. Pintelon, and P. Guillaume. "Modal Identification Using OMA Techniques: Nonlinearity Effect." Shock and Vibration 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/178696.

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This paper is focused on an assessment of the state of the art of operational modal analysis (OMA) methodologies in estimating modal parameters from output responses of nonlinear structures. By means of the Volterra series, the nonlinear structure excited by random excitation is modeled as best linear approximation plus a term representing nonlinear distortions. As the nonlinear distortions are of stochastic nature and thus indistinguishable from the measurement noise, a protocol based on the use of the random phase multisine is proposed to reveal the accuracy and robustness of the linear OMA technique in the presence of the system nonlinearity. Several frequency- and time-domain based OMA techniques are examined for the modal identification of simulated and real nonlinear mechanical systems. Theoretical analyses are also provided to understand how the system nonlinearity degrades the performance of the OMA algorithms.

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8

Crama, P., and J. Schoukens. "Computing an Initial Estimate of a Wiener–Hammerstein System With a Random Phase Multisine Excitation." IEEE Transactions on Instrumentation and Measurement 54, no. 1 (February 2005): 117–22. http://dx.doi.org/10.1109/tim.2004.838130.

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9

Hauffman, Tom, Tom Breugelmans, Yves van Ingelgem, Els Tourwé, Herman Terryn, and Annick Hubin. "Measuring the adsorption of ethanol on aluminium oxides using odd random phase multisine electrochemical impedance spectroscopy." Electrochemistry Communications 22 (August 2012): 124–27. http://dx.doi.org/10.1016/j.elecom.2012.06.008.

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10

Alvarez-Pampliega, A., T. Hauffman, M. Petrova, T. Breugelmans, T. Muselle, K. Van den Bergh, J. De Strycker, H. Terryn, and A. Hubin. "Corrosion study on Al-rich metal-coated steel by odd random phase multisine electrochemical impedance spectroscopy." Electrochimica Acta 124 (April 2014): 165–75. http://dx.doi.org/10.1016/j.electacta.2013.09.159.

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11

Breugelmans, Tom, Els Tourwé, Yves Van Ingelgem, Jan Wielant, Tom Hauffman, René Hausbrand, Rik Pintelon, and Annick Hubin. "Odd random phase multisine EIS as a detection method for the onset of corrosion of coated steel." Electrochemistry Communications 12, no. 1 (January 2010): 2–5. http://dx.doi.org/10.1016/j.elecom.2009.10.008.

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12

Wouters, Benny, Ehsan Jalilian, Raf Claessens, Negin Madelat, Tom Hauffman, Guy Van Assche, Herman Terryn, and Annick Hubin. "Monitoring initial contact of UV-cured organic coatings with aqueous solutions using odd random phase multisine electrochemical impedance spectroscopy." Corrosion Science 190 (September 2021): 109713. http://dx.doi.org/10.1016/j.corsci.2021.109713.

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13

Hauffman, T., J. B. Jorcin, Y. V. Ingelgem, T. Breugelmans, E. Tourwe, A. Hubin, and J. Vereecken. "Étude de la formation de couches organiques auto assemblées à l'aide de la spectroscopie d'impédance électrochimique "odd random phase multisine"." Matériaux & Techniques 95 (2007): 411–15. http://dx.doi.org/10.1051/mattech:2008037.

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14

Jorcin, Jean-Baptiste, Gill Scheltjens, Yves Van Ingelgem, Els Tourwé, Guy Van Assche, Iris De Graeve, Bruno Van Mele, Herman Terryn, and Annick Hubin. "Investigation of the self-healing properties of shape memory polyurethane coatings with the ‘odd random phase multisine’ electrochemical impedance spectroscopy." Electrochimica Acta 55, no. 21 (August 2010): 6195–203. http://dx.doi.org/10.1016/j.electacta.2010.01.027.

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15

Breugelmans, Tom, John Lataire, Thibault Muselle, Els Tourwé, Rik Pintelon, and Annick Hubin. "Odd random phase multisine electrochemical impedance spectroscopy to quantify a non-stationary behaviour: Theory and validation by calculating an instantaneous impedance value." Electrochimica Acta 76 (August 2012): 375–82. http://dx.doi.org/10.1016/j.electacta.2012.05.051.

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16

Figwer, J. "Continuous-Time Dynamic System Identification with Multisine Random Excitation Revisited * *This work was partially supported by Polish Ministry of Science and Higher Education." IFAC Proceedings Volumes 42, no. 13 (2009): 296–301. http://dx.doi.org/10.3182/20090819-3-pl-3002.00052.

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17

Fernández Macía, L., M. Petrova, T. Hauffman, T. Muselle, Th Doneux, and A. Hubin. "A study of the electron transfer inhibition on a charged self-assembled monolayer modified gold electrode by odd random phase multisine electrochemical impedance spectroscopy." Electrochimica Acta 140 (September 2014): 266–74. http://dx.doi.org/10.1016/j.electacta.2014.05.027.

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18

Dinu, Mihaela, Tom Hauffman, Chiara Cordioli, Alina Vladescu, Mariana Braic, Annick Hubin, and Cosmin M. Cotrut. "Protective performance of Zr and Cr based silico-oxynitrides used for dental applications by means of potentiodynamic polarization and odd random phase multisine electrochemical impedance spectroscopy." Corrosion Science 115 (February 2017): 118–28. http://dx.doi.org/10.1016/j.corsci.2016.11.018.

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19

Hauffman, Tom, Yves van Ingelgem, Tom Breugelmans, Els Tourwé, Herman Terryn, and Annick Hubin. "Dynamic, in situ study of self-assembling organic phosphonic acid monolayers from ethanolic solutions on aluminium oxides by means of odd random phase multisine electrochemical impedance spectroscopy." Electrochimica Acta 106 (September 2013): 342–50. http://dx.doi.org/10.1016/j.electacta.2013.04.025.

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20

Arutyunov, S. D., A. A. Yuzhakov, I. I. Bezukladnikov, N. B. Astashina, A. M. Elovikov, A. A. Baydarov, and P. V. Mayorov. "Preclinical acoustic efficiency evaluation of bionic ear." Perm Medical Journal 39, no. 3 (July 15, 2022): 143–53. http://dx.doi.org/10.17816/pmj393143-153.

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Objective. To study the major acoustic properties of the prototype of bionic ear developed in order to confirm its functional performance. Materials and methods. Acoustic properties of the bionic ear were measured using Random Phase MultiSine signal in a test bench, which simulated the implant-emitter-osseous tissue-inner ear system. The resulting pulse response was converted to the target characteristics: FR and group lag. Experiments were carried out for -6dB signal level, 10 times for each of the methods used. Results. Microtia is a congenital auricular hypoplasia or aplasia (anotia) which often involves impairment or total loss of hearing. One way to rehabilitate this type of patients is to use bone-conducting apparatuses (bone anchored hearing aids), which allow to compensate for the functional component but not to restore facial aesthetics. This paper deals with major acoustic properties of the prototype bionic ear we have previously developed, in order to confirm its functional performance for clinical use. Our analysis of acoustic characteristics of the bionic ear system showed the frequency response was uniform enough in extended voice frequency range (100 to 10000 Hz). The experimental research demonstrated that operating time of the prototype bionic ear to battery depletion is 10 h 26 min with 25 % amplification, 10 h 05 min with 50 % amplification, 9 h 48 min with 75 % amplification. Thus, the acoustic characteristics of the vibratory emitter were determined, which confirmed that the bionic artificial ear was eligible for clinical testing. Conclusions. Major frequency response of the vibratory emitter was measured, and confirmed that preclinical studies were successful and the bionic ear was eligible for clinical testing.

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21

"Study of the Corrosion of Al-Rich Metallic Coated Steel with Odd Random Phase Multisine EIS." ECS Meeting Abstracts, 2009. http://dx.doi.org/10.1149/ma2009-02/17/1801.

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22

"The Detection of Non-Linearities Using Odd Random Phase Multisine EIS and its Application in Corrosion Investigations." ECS Meeting Abstracts, 2011. http://dx.doi.org/10.1149/ma2011-02/21/1671.

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23

Mitu, Ana-Maria, Tudor Sireteanu, Marius Giuclea, and Ovidiu Solomon. "Simulation of Wide-Sense Stationary Random Time-Series With Specified Spectral Densities." Journal of Vibration and Acoustics 138, no. 3 (April 13, 2016). http://dx.doi.org/10.1115/1.4032899.

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In this paper, an effective approach to the simulation of wide-sense stationary random time-series, defined by its power spectral density (PSD) is presented. This approach is based on approximating the sample paths of target random process by finite series of sample functions of random processes, obtained as the outputs of suitably chosen set of second-order linear filters to independent limited band Gaussian white noise inputs. Thus, the Gaussian distribution of simulated time-series is obtained without applying the central limit theorem. Also, the Fourier spectra of the simulated sample paths are not discrete functions, as in the case of the multisine random time-series representation used by most classical simulation methods. The method can be applied to any analytical or nonparametric representation of the specified PSD. The proposed approach is applied to simulation of road input sample paths, compatible with PSDs described by analytical forms that can or cannot be derived by linear shape filters. The method is validated by comparison of spectral response of a half-car model to the input induced by a measured road profile with that obtained for the simulated road input. This input is derived from the nonparametric PSD, determined by third-octave filtering of the measured profile. The advantages of the proposed approach are highlighted by its comparison with a conventional method, based on the representation of simulated road input by a sum of harmonics with random phases.

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24

"Use of Odd Random Phase Multisine EIS Measurements as a Tool for the Study of Rapidly Evolving Electrochemical Systems." ECS Meeting Abstracts, 2008. http://dx.doi.org/10.1149/ma2008-01/26/902.

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25

Lee, Soojin, Paul F. Smith, Won Hee Lee, and Martin J. McKeown. "Frequency-Specific Effects of Galvanic Vestibular Stimulation on Response-Time Performance in Parkinson's Disease." Frontiers in Neurology 12 (November 2, 2021). http://dx.doi.org/10.3389/fneur.2021.758122.

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Background: Galvanic vestibular stimulation (GVS) is being increasingly explored as a non-invasive brain stimulation technique to treat symptoms in Parkinson's disease (PD). To date, behavioral GVS effects in PD have been explored with only two stimulus types, direct current and random noise (RN). The interaction between GVS effects and anti-parkinsonian medication is unknown. In the present study, we designed multisine (ms) stimuli and investigated the effects of ms and RN GVS on motor response time. In comparison to the RN stimulus, the ms stimuli contained sinusoidal components only at a set of desired frequencies and the phases were optimized to improve participants' comfort. We hypothesized GVS motor effects were a function of stimulation frequency, and specifically, that band-limited ms-GVS would result in better motor performance than conventionally used broadband RN-GVS.Materials and Methods: Eighteen PD patients (PDMOFF/PDMON: off-/on-levodopa medication) and 20 healthy controls (HC) performed a simple reaction time task while receiving sub-threshold GVS. Each participant underwent nine stimulation conditions: off-stimulation, RN (4–200 Hz), ms-θ (4–8 Hz), ms-α (8–13 Hz), ms-β (13–30 Hz), ms-γ (30–50 Hz), ms-h1 (50–100 Hz), ms-h2 (100–150 Hz), and ms-h3 (150–200 Hz).Results: The ms-γ resulted in shorter response time (RPT) in both PDMOFF and HC groups compared with the RN. In addition, the RPT of the PDMOFF group decreased during the ms-β while the RPT of the HC group decreased during the ms-α, ms-h1, ms-h2, and ms-h3. There was considerable inter-subject variability in the optimum stimulus type, although the frequency range tended to fall within 8–100 Hz. Levodopa medication significantly reduced the baseline RPT of the PD patients. In contrast to the off-medication state, GVS did not significantly change RPT of the PD patients in the on-medication state.Conclusions: Using band-limited ms-GVS, we demonstrated that the GVS frequency for the best RPT varied considerably across participants and was >30 Hz for half of the PDMOFF patients. Moreover, dopaminergic medication was found to influence GVS effects in PD patients. Our results indicate the common “one-size-fits-all” RN approach is suboptimal for PD, and therefore personalized stimuli aiming to address this variability is warranted to improve GVS effects.

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